8000 Plotlyjs1 54 docs update by jdamiba · Pull Request #51 · plotly/plotly.r-docs · GitHub
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Merged
merged 6 commits into from
Jun 2, 2020
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Plotlyjs1 54 docs update #51

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fe712e2
update docs for new version of package
May 20, 2020
9bd62d1
rangebreaks doc
May 26, 2020
e45bbf2
use correct cache in CI
May 26, 2020
640c66c
finalize new docs
May 26, 2020
3ebbf46
Merge branch 'master' into plotlyjs1-54-docs-update
May 26, 2020
ec5a8ce
refactor rangebreaks example
May 26, 2020
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refactor rangebreaks example
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Joseph Damiba committed May 26, 2020
commit ec5a8ce1f6be0ef9860f2ba1938474d0bd174691
2 changes: 1 addition & 1 deletion .circleci/config.yml
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Expand Up @@ -25,7 +25,7 @@ jobs:
name: install application-level dependencies
command: |
sudo apt-get install -y pandoc libudunits2-dev libgdal-dev libxt-dev libglu1-mesa-dev libfftw3-dev
sudo R -e 'install.packages(c("plotly", "curl", "devtools", "mvtnorm")); devtools::install_github("hypertidy/anglr"); devtools::install_github("johannesbjork/LaCroixColoR"); install.packages("BiocManager"); BiocManager::install("EBImage"); devtools::install_deps(dependencies = TRUE) '
sudo R -e 'install.packages(c("curl", "devtools", "mvtnorm")); devtools::install_github("hypertidy/anglr"); devtools::install_github("ropensci/plotly"); devtools::install_github("johannesbjork/LaCroixColoR"); install.packages("BiocManager"); BiocManager::install("EBImage"); devtools::install_deps(dependencies = TRUE) '
- save_cache:
key: cache4
paths:
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55 changes: 42 additions & 13 deletions r/2015-07-30-time-series.Rmd
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Expand Up @@ -30,23 +30,52 @@ fig
```

### Hiding Weekends and Holidays
The `rangebreaks` attribute available on x- and y-axes of type date can be used to hide certain time-periods. In the example below, we create a plot of the last ten days, excluding Saturdays, Sundays, yesterday, and the day before yesterday. Check out the reference for more options: https://plotly.com/r/reference/#layout-xaxis-rangebreaks
The `rangebreaks` attribute available on x- and y-axes of type date can be used to hide certain time-periods. In the example below, we show two plots: one in default mode to show gaps in the data, and one where we hide weekends and holidays to show an uninterrupted trading history. Note the smaller gaps between the grid lines for December 21 and January 4, where holidays were removed. Check out the reference for more options: https://plotly.com/r/reference/#layout-xaxis-rangebreaks


```{r}
library(plotly)
today <- Sys.Date()
yesterday = today - 1
day_before_yesterday = yesterday - 1
tm <- seq(0, 10, by = 1)
x <- today - tm
y <- rnorm(length(x))
fig <- plot_ly(x = ~x, y = ~y, mode = 'markers', text = paste(tm, "days from today"))
fig <- fig %>% layout(
xaxis = list(rangebreaks = list(
list(bounds=c("sat", "sun")),
list(values=c(yesterday,day_before_yesterday))
))
df <- read.csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')
fig <- plot_ly(
type = "scatter",
x = as.Date(df$Date, format= "%Y-%m-%d"),
y = df$AAPL.High,
name = 'AAPL High',
mode = "markers",
)
fig <- fig %>%
layout(
title = "Time Series with Custom Date-Time Format",
xaxis = list(
type = "date",
range=c('2015-12-01', '2016-01-15')
)
)
fig
```

```{r}
library(plotly)
df <- read.csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')
fig <- plot_ly(
type = "scatter",
x = as.Date(df$Date, format= "%Y-%m-%d"),
y = df$AAPL.High,
name = 'AAPL High',
mode = "markers",
)
fig <- fig %>%
layout(
title = "Time Series with Custom Date-Time Format",
xaxis = list(
type = "date",
range=c('2015-12-01', '2016-01-15'),
rangebreaks = list(
list(bounds=c("sat", "mon")),
list(values=c("2015-12-25", "2016-01-01"))
)
)
)
fig
```
### POSIXlt date time class with timezone
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